Update dataset card with task category, paper links, and citation
#3
by nielsr HF Staff - opened
README.md
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---
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license: cc-by-sa-4.0
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tags:
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- earth-observation
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- remote-sensing
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- elevation
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- satellite
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- geospatial
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size_categories:
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- 1M<n<10M
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dataset_info:
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- config_name: default
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features:
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data_files: metadata.parquet
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---
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# Major TOM Core-DEM
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| Source | Modality Type | Number of Patches | Patch Size | Total Pixels |
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|:-------|:-------------:|:-----------------:|:----------:|:------------:|
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|Copernicus DEM 30 | Digital Surface Model (DSM) |1,837,843| 356 x 356 (30 m) | > 1.654 Billion |
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## Content
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| Column | Details | Resolution |
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|:-------|:--------|:-----------|
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In this first version, all available DEM data was included except for the Major TOM cells below the 89th latitude and two degrees west off the date change line. Azerbaijan and Armenia weren’t included either as they are unavailable on the Creodias platform used to create this dataset.
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## Example Use
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Interface scripts are available at https://github.com/ESA-PhiLab/Major-TOM
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dem = f.read()
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```
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```python
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from fsspec.parquet import open_parquet_file
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import pyarrow.parquet as pq
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stream = BytesIO(first_row_group['thumbnail'][0].as_py())
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image = Image.open(stream)
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```
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### Reprojection Details
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Contrary to [S1 RTC](huggingface.co/datasets/Major-TOM/Core-S1RTC) and S2 ([L1C](huggingface.co/datasets/Major-TOM/Core-S2L1C) & [L2A](huggingface.co/datasets/Major-TOM/Core-S2L2A)) products, which are taken in their native projection to create their respective Major TOM Core datasets, Copernicus DEM, natively in EPSG:4326, was reprojected to a carefully chosen projection. To guarantee uniformity across Major Tom sources, it was reprojected to the corresponding UTM zone of the cell. This leads to inconsistency between Sentinel-2 and COP-DEM cells in some cases. For the S2-L2A product this is estimated to 2.5% of all the cells where COP-DEM and S2-L2A are available (41,998 out of 1,679,898 cells).
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### Credits
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This dataset is the product of a collaboration between [Φ-lab, European Space Agency (ESA)](https://huggingface.co/ESA-philab) and the [Adobe Research (Paris, France)](https://research.adobe.com/careers/paris/). The dataset was put together by [Paul Borne--Pons](https://www.linkedin.com/in/paul-bp-cs/) under the supervision of Mikolaj Czerkawski and Alistair Francis (the original authors of the Major TOM project) as part of his stay at ESA Phi Lab. The idea behind this collaboration is to explore the synergies between Sentinel 2 products and DEM data, notably for the generation of terrains.
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---
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Produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH
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---
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license: cc-by-sa-4.0
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size_categories:
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- 1M<n<10M
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task_categories:
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- other
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tags:
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- earth-observation
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- remote-sensing
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- elevation
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- satellite
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- geospatial
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dataset_info:
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- config_name: default
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features:
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data_files: metadata.parquet
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---
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# Major TOM Core-DEM
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Major TOM Core-DEM contains a global coverage of [Copernicus DEM](https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model), each of size 356 x 356 pixels.
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This dataset is featured in the paper [EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images](https://huggingface.co/papers/2603.29441) and is part of the [Major TOM: Expandable Datasets for Earth Observation](https://arxiv.org/abs/2402.12095) ecosystem.
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- **Project Page:** [EarthEmbeddingExplorer](https://modelscope.ai/studios/Major-TOM/EarthEmbeddingExplorer)
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- **GitHub:** [ESA-PhiLab/Major-TOM](https://github.com/ESA-PhiLab/Major-TOM)
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| Source | Modality Type | Number of Patches | Patch Size | Total Pixels |
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|:-------|:-------------:|:-----------------:|:----------:|:------------:|
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|Copernicus DEM 30 | Digital Surface Model (DSM) |1,837,843| 356 x 356 (30 m) | > 1.654 Billion |
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## Dataset Content
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| Column | Details | Resolution |
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|:-------|:--------|:-----------|
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In this first version, all available DEM data was included except for the Major TOM cells below the 89th latitude and two degrees west off the date change line. Azerbaijan and Armenia weren’t included either as they are unavailable on the Creodias platform used to create this dataset.
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## Example Use
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Interface scripts are available at https://github.com/ESA-PhiLab/Major-TOM
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dem = f.read()
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```
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And here's an example with a thumbnail image:
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```python
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from fsspec.parquet import open_parquet_file
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import pyarrow.parquet as pq
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stream = BytesIO(first_row_group['thumbnail'][0].as_py())
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image = Image.open(stream)
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```
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### Reprojection Details
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Contrary to [S1 RTC](huggingface.co/datasets/Major-TOM/Core-S1RTC) and S2 ([L1C](huggingface.co/datasets/Major-TOM/Core-S2L1C) & [L2A](huggingface.co/datasets/Major-TOM/Core-S2L2A)) products, which are taken in their native projection to create their respective Major TOM Core datasets, Copernicus DEM, natively in EPSG:4326, was reprojected to a carefully chosen projection. To guarantee uniformity across Major Tom sources, it was reprojected to the corresponding UTM zone of the cell. This leads to inconsistency between Sentinel-2 and COP-DEM cells in some cases. For the S2-L2A product this is estimated to 2.5% of all the cells where COP-DEM and S2-L2A are available (41,998 out of 1,679,898 cells).
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### Credits
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This dataset is the product of a collaboration between [Φ-lab, European Space Agency (ESA)](https://huggingface.co/ESA-philab) and the [Adobe Research (Paris, France)](https://research.adobe.com/careers/paris/). The dataset was put together by [Paul Borne--Pons](https://www.linkedin.com/in/paul-bp-cs/) under the supervision of Mikolaj Czerkawski and Alistair Francis (the original authors of the Major TOM project) as part of his stay at ESA Phi Lab. The idea behind this collaboration is to explore the synergies between Sentinel 2 products and DEM data, notably for the generation of terrains.
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### Citation
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```latex
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@inproceedings{Francis2024MajorTOM,
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author={Francis, Alistair and Czerkawski, Mikolaj},
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booktitle={IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium},
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title={Major TOM: Expandable Datasets for Earth Observation},
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year={2024},
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volume={},
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number={},
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pages={2935-2940},
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doi={10.1109/IGARSS53475.2024.10640760}
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}
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```
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---
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Produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH
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